Computational Biologist/Data Scientist - Open Rank
Stanford University

Work type: Non-Tenure Line (Research)
Location: Stanford University
Categories: School of Medicine

The Stanford Cardiovascular Institute and the Division of Cardiovascular Medicine in the Department of Medicine at Stanford University invite applicants for a faculty position at the rank of Assistant, Associate or Full Professor in the Non-Tenure Line (NTL-R) as a Computational Biologist/Data Scientist.

This is a new search by the Department of Medicine, Cardiovascular Division (CVMed) and the Cardiovascular Institute (CVI) at Stanford University. CVMed and CVI have identified a need for a researcher with a background in computational sciences, bioengineering or quantitative physiology, who will be able to lead a team to disruptive innovations. The successful bioengineer will accelerate existing collaborations between basic and translational scientists and clinicians, facilitate new collaborations, and develop new independent projects within the rich existing ecosystem of CVMed and CVI.

The major criterion for appointment for faculty in the Non-tenure Line (Research) is evidence of high-level performance as a researcher for whose special knowledge a programmatic need exists. The successful applicant should hold a PhD or equivalent credentials in a relevant discipline, be working at the Assistant, Associate, or Full Professor level or equivalent. The ideal applicant will have a proven track record of funding for relevant projects, with the anticipation that they will be able to lead their own laboratory at Stanford. Mentorship of post-MD, post-PhD and other trainees would be an advantage. However, candidates with expertise in other areas of computational, bioengineering or quantitative physiology are encouraged to apply. While not mandatory, there is a preference for expertise in cardiovascular disease.

Faculty rank and line will be determined by the qualifications and experience of the successful candidate.

The Department of Medicine, School of Medicine, and Stanford University value faculty who will help foster an inclusive academic environment for colleagues, students, and staff with a wide range of backgrounds, identities, and outlooks. Candidates may choose to include as part of their research and teaching statements a brief discussion about how their work and experience will further these ideals. Additional information about Stanford's IDEAL initiative may be found here: https://ideal.stanford.edu/about-ideal/diversity-statement.

Interested candidates should upload their curriculum vitae, a cover letter outlining their achievements in mentoring and teaching and research, and the names of three references (who will not be contacted without prior consent) and complete the application at: Computational Biologist/Data Scientist - Open Rank

Contact Junie Urbano, Faculty Affairs Specialist for Recruitment at junieu@stanford.edu for more information. Applications will be reviewed beginning May 1, 2024 and accepted until position is filled.

The expected base pay range for this position is:

Assistant Professor - $190,000 - $208,000
Associate Professor - $218,000 - $242,000
Professor - $261,000 - $321,000

This pay range reflects base pay, which is based on faculty rank and years in rank. It does not include all components of the School of Medicine's faculty compensation program or pay from participation in departmental incentive compensation programs. For more information about compensation and our wide-range of benefits, including housing assistance, please contact the hiring department.

Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years in rank, training, and field or discipline; internal equity; and external market pay for comparable jobs.

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford also welcomes applications from others who would bring additional dimensions to the University's research, teaching and clinical missions.

Advertised: 05 Feb 2024 9:00 AM Pacific Standard Time
Applications close: